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Abstract

Abstract

Most corpus tools commonly used for corpus-based data-driven learning (DDL) are designed for research rather than teaching purposes, with much DDL research suggesting learners and their teachers often stop DDL after initial training due to tool-related issues like complex user interfaces and system settings. Based on feedback from secondary-age language learners and their teachers in the Australian context, we present (https://corpusmate.com), a new, user-friendly corpus tool that incorporates several publicly available written and spoken corpora across 20 disciplinary subjects. It offers a range of flexible concordancing, n-gram and data visualisation options to ensure a fast, smooth and simple DDL experience for end users.

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2024-04-16
2024-10-08
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  • Article Type: Research Article
Keywords: concordancing ; data-driven learning ; CorpusMate ; disciplinary variation ; young learners
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